Abstract
A new monitoring approach for polyhydroxyalcanoates (PHA) granules identification and characterization based on image analysis procedures is proposed. PHA granules were analyzed by Sudan Black B (SBB) staining in an enhanced biological phosphorus removal (EBPR) system. Color images captured on an optical microscope were analyzed through quantitative image analysis. The distribution of PHA granules was estimated by determination of the proportion of blue-black pixels. A relationship was found between image analysis parameters and PHA concentration. In conclusion, it may be inferred that the present image analysis procedure is suitable to quantify PHA granules in SBB staining images and a promising alternative to standard analysis. © 2013 Springer-Verlag.
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Mesquita, D. P., Selvaggio, G., Cunha, J. R., Leal, C. S., Amaral, A. L., & Ferreira, E. C. (2013). Image analysis for automatic characterization of polyhydroxyalcanoates granules. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7950 LNCS, pp. 790–797). https://doi.org/10.1007/978-3-642-39094-4_91
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